Efficient volume visualization of 3D ultrasound images

Cheol-An Kim; Jeong Hwan Oh; Hyun Wook Park

doi:10.1117/12.349468

26 May 1999 Efficient volume visualization of 3D ultrasound images

Cheol-An Kim, Jeong Hwan Oh, Hyun Wook Park

Proceedings Volume 3658, Medical Imaging 1999: Image Display; (1999) https://doi.org/10.1117/12.349468
Event: Medical Imaging '99, 1999, San Diego, CA, United States

Abstract

Visualization of 3D data from ultrasound images is a challenging task due to the noisy and fuzzy nature of ultrasound image and large amounts of computation time. This paper presents an efficient volume rendering technique for visualization of 3D ultrasound image and large amounts of computation time. This paper present an efficient volume rendering technique for visualization of 3D ultrasound image using the noise-reduction filtering and extraction of the boundary surface with good image quality. The truncated- median filter in 2D ultrasound image is proposed for reducing speckle noise within acceptable processing time. In order to adapt the fuzzy nature of boundary surface of ultrasound image, an adaptive thresholding is also proposed. The decision of threshold is based on the idea that effective boundary surface is estimated by the gray level above an adequate noise threshold and width along the pixel ray. The proposed rendering method is simulated with 3D fetus ultrasound image of 148 X 194 X 112 voxels. Several preprocessing methods were tested and compared with respect to the computation time and the subjective image quality. According to the comparison study, the proposed volume rendering method shows good performance for volume visualization of 3D ultrasound image.

Citation Download Citation

Cheol-An Kim, Jeong Hwan Oh, and Hyun Wook Park "Efficient volume visualization of 3D ultrasound images", Proc. SPIE 3658, Medical Imaging 1999: Image Display, (26 May 1999); https://doi.org/10.1117/12.349468

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available